vix.ing · top · new · best · stats · spec

Pietro Michiardi

  1. Continuous-Time Functional Diffusion Processes
    2023/03/01 by Giulio Franzese, Franzese, Giulio, Corallo, Giulio +7 · 8 citations
    Computer Science · Medicine · #Generative Adversarial Networks and Image Synthesis #Machine Learning in Healthcare #Advanced Neuroimaging Techniques and Applications
  2. MINDE: Mutual Information Neural Diffusion Estimation
    2023/10/13 by Giulio Franzese, Franzese, Giulio, Mustapha Bounoua +3 · 8 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
  3. Random Feature Expansions for Deep Gaussian Processes
    2016/10/14 by Kurt Cutajar, Edwin V. Bonilla, Cutajar, Kurt +5 · 5 citations
    Computer Science · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Machine Learning and Data Classification
  4. Sparse within Sparse Gaussian Processes using Neighbor Information
    2020/11/10 by Gia-Lac Tran, Dimitrios Milios, Tran, Gia-Lac +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Model Selection for Bayesian Autoencoders
    2021/06/11 by Ba-Hien Tran, Tran, Ba-Hien, Simone Rossi +9 · 2 citations
    Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. DiNoDB: an Interactive-speed Query Engine for Ad-hoc Queries on Temporary Data
    2016/09/16 by Yongchao Tian, Tian, Yongchao, Ioannis Alagiannis +9 · 1 citation
    Computer Science · #Advanced Data Storage Technologies #Advanced Database Systems and Queries #Data Management and Algorithms #Databases (cs.DB) #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
  7. Calibrating Deep Convolutional Gaussian Processes
    2018/05/26 by Gia-Lac Tran, Edwin V. Bonilla, Tran, Gia-Lac +7 · 1 citation
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. LIBRE: Learning Interpretable Boolean Rule Ensembles
    2019/11/15 by Graziano Mita, Paolo Papotti, Mita, Graziano +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  9. One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
    2023/05/30 by Ba-Hien Tran, Tran, Ba-Hien, Giulio Franzese +5 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Healthcare #Single-cell and spatial transcriptomics
  10. Information Theoretic Text-to-Image Alignment
    2024/05/31 by Chao Wang, Wang, Chao, Giulio Franzese +7 · 1 voice · 1 citation
    Computer Science · #Image Processing and 3D Reconstruction #Image Retrieval and Classification Techniques #cs.CV #cs.LG
  11. SΩI: Score-based O-INFORMATION Estimation
    2024/02/08 by Mustapha Bounoua, Giulio Franzese, Bounoua, Mustapha +3 · 1 citation
    Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Advanced Text Analysis Techniques #Neural Networks and Applications
  12. How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
    2022/06/10 by Giulio Franzese, Simone Rossi, Lixuan Yang +4 · 1 voice
    Mathematics · Computer Science · #stat.ML #cs.LG
  13. Good Initializations of Variational Bayes for Deep Models
    2018/10/18 by Simone Rossi, Rossi, Simone, Pietro Michiardi +3 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)